Applying Semantic Web Technologies to Car Repairs

Author(s):  
Martin Bryan ◽  
Jay Cousins

Vehicle repair organizations, especially those involved in providing roadside assistance, have to be able to handle a wide range of vehicles produced by different manufacturers. Each manufacturer has its own vocabulary for describing components, faults, symptoms, etc, which is maintained in multiple languages. To search online resources to find repair information on vehicles anywhere within the European Single Market, the vocabularies used to describe different makes and models of vehicles need to be integrated. The European Commission MYCAREVENT research project brought together European vehicle manufacturers, vehicle repair organisations, diagnostic tool manufacturers and IT specialists, including Semantic Web technologists, to study how to link together the wide range of information sets they use to identify faults and repair vehicles. MYCAREVENT has shown that information sets can be integrated and accessed through a service portal by using an integrated vocabulary. The integrated vocabulary provides a ‘shared language’ for the project, a reference terminology to which the disparate terminologies of organisations participating in the project can be mapped. This lingua franca facilitates a single point of access to disparate sets of information.

2011 ◽  
pp. 924-942
Author(s):  
Martin Bryan ◽  
Jay Cousins

Vehicle repair organizations, especially those involved in providing roadside assistance, have to be able to handle a wide range of vehicles produced by different manufacturers. Each manufacturer has its own vocabulary for describing components, faults, symptoms, etc, which is maintained in multiple languages. To search online resources to find repair information on vehicles anywhere within the European Single Market, the vocabularies used to describe different makes and models of vehicles need to be integrated. The European Commission MYCAREVENT research project brought together European vehicle manufacturers, vehicle repair organisations, diagnostic tool manufacturers and IT specialists, including Semantic Web technologists, to study how to link together the wide range of information sets they use to identify faults and repair vehicles. MYCAREVENT has shown that information sets can be integrated and accessed through a service portal by using an integrated vocabulary. The integrated vocabulary provides a ‘shared language’ for the project, a reference terminology to which the disparate terminologies of organisations participating in the project can be mapped. This lingua franca facilitates a single point of access to disparate sets of information.


Author(s):  
Cecilia Avila-Garzon

Advances in semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide range of fields (e.g. open government, business, culture, education, etc.). This article reports the results of a systematic literature review on LOD. 250 articles were reviewed for providing a general overview of the current applications, technologies, and methodologies for LOD. The main findings include: i) most of the studies conducted so far focus on the use of semantic web technologies and tools applied to contexts such as biology, social sciences, libraries, research, and education; ii) there is a lack of research with regard to a standardized methodology for managing LOD; and iii) a plenty of tools can be used for managing LOD, but most of them lack of user-friendly interfaces for querying datasets.


Author(s):  
Ronald Denaux ◽  
Martino Mensio ◽  
Jose Manuel Gomez-Perez ◽  
Harith Alani

This paper summarises work where we combined semantic web technologies with deep learning systems to obtain state-of-the art explainable misinformation detection. We proposed a conceptual and computational model to describe a wide range of misinformation detection systems based around the concepts of credibility and reviews. We described how Credibility Reviews (CRs) can be used to build networks of distributed bots that collaborate for misinformation detection which we evaluated by building a prototype based on publicly available datasets and deep learning models.


Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė

2006 ◽  
Vol 21 (1) ◽  
pp. 82-86 ◽  
Author(s):  
S. Stephens ◽  
A. Morales ◽  
M. Quinlan

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